code: def test_llava_index_error_bug(self):
      # This is a reproducer of https://github.com/huggingface/transformers/pull/28032 and makes sure it does not happen anymore
      # Please refer to that PR, or specifically https://github.com/huggingface/transformers/pull/28032#issuecomment-1860650043 for
      # more details
      model_id = "llava-hf/llava-1.5-7b-hf"
      model = LlavaForConditionalGeneration.from_pretrained(
          model_id, load_in_4bit=True
      )
  
      processor = AutoProcessor.from_pretrained(model_id)
  
      # Simulate a super long prompt
      user_prompt = "Describe the image:?\n" * 200
      prompt = f"USER: <image>\n{user_prompt}ASSISTANT:"
      image_file = (
          "http://images.cocodataset.org/val2017/000000039769.jpg"
      )
  
      raw_image = Image.open(requests.get(image_file, stream=True).raw)
      inputs = processor(prompt, raw_image, return_tensors="pt").to(
          torch_device, torch.float16
      )
  
      # Make sure that `generate` works
      _ = model.generate(**inputs, max_new_tokens=20)
  
imports: import gc
  import unittest
  import requests
  from transformers import AutoProcessor, LlavaConfig, LlavaForConditionalGeneration, is_torch_available, is_vision_available
  from transformers.testing_utils import require_bitsandbytes, require_torch, require_torch_gpu, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
label_desc: Use image node_id 8 for calling the LlavaForConditionalGenerationIntegrationTest obj's underlying member method code with example usage: obj.test_llava_index_error_bug() without return types